Stanford
Institute for Computational & Mathematical Engineering

ICME Research Symposium 2026

The annual research symposium highlights current research topics and future plans through presentations, panel discussions, and graduate students’ poster session.

Event Details:

Tuesday, May 19, 2026
9:00am - 5:00pm PDT

Location

Stanford University - Huang Bldg.
475 Via Ortega
Stanford, CA 94305-4042
United States

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This event is open to:

Affiliate Members
Alumni
Faculty/Staff
Students
Review the summary of the event.

Join us for the ICME Research Symposium 2026, a full-day event focused on showcasing cutting-edge research and fostering meaningful discussions. This year’s theme, AI for Science and Engineering, highlights advances in computational mathematics and engineering, bringing together faculty, industry partners, and graduate students to share their research, promote interdisciplinary dialogue, and strengthen collaboration across academia and industry. 

Student Research Posters
Explore student research posters from emerging scholars and future innovators
Read the full collection of student research abstracts

The ICME Research Symposium is an invitation-only event, reserved for ICME students, Stanford affiliated faculty and ICME Affiliate Program members and their employees. If you have questions about attending or would like to learn more about ICME and our affiliate program, please contact icme-contact@stanford.edu or visit our website at icme.stanford.edu.

Agenda

9:15 AMREGISTRATION CHECK-IN AND STUDENT POSTERS PREVIEW
10:00 AM

WELCOME AND OPENING REMARKS

  • Eric Darve, Professor of Mechanical Engineering and Director of the Institute for Computational and Mathematical Engineering (ICME)
10:15 AM

FACULTY KEYNOTE

  • Is AI What’s Next for Engineering?
    Gianluca Iaccarino, Robert Bosch Chair and Professor of Mechanical Engineering 
10:45 AM

INDUSTRY KEYNOTE

11:15 AM

FIRESIDE TALK

  • Gianluca Iaccarino, Robert Bosch Chair and Professor of Mechanical Engineering
  • Andrew Feldman, Co-Founder and CEO, Cerebras Systems
  • Eric Darve, Professor of Mechanical Engineering and Director of the Institute for Computational and Mathematical Engineering (ICME)
11:25 AM

FACULTY VISION TALKS

  • Simple Yet Predictive Theories of How Generative AI Learns Languages and Creates Images
    Surya Ganguli, Associate Professor of Applied Physics
  • Causality and LLM Benchmarking: Two Intersecting Perspectives
    Vasilis Syrgkanis, Assistant Professor of Management Science and Engineering 
12:15 PMNETWORKING LUNCH AND STUDENT POSTERS 
1:30 PM

FACULTY VISION TALKS

  • One-Step Generative Modeling via Gradient Flows
    Renyuan Xu, Assistant Professor of Management Science and Engineering
  • Decoding Regulatory DNA Syntax and Genetic Variation with Deep Learning Models
    Anshul Kundaje, Associate Professor of Genetics and Computer Science
  • Decoding the Universe
    Risa Wechsler, Director, Kavli Institute for Particle Astrophysics and Cosmology (KIPAC), and Professor of Physics at Stanford and of Particle Physics and Astrophysics at SLAC National Accelerator Laboratory
2:45 PM

PHD SPOTLIGHTS

  • Towards Vision and Language Foundation Models in Scientific Reasoning
    James Burgess
  • SD-KDE: Score-Debiased Kernel Density Estimation
    Elliot Epstein
  • From Grains to Glaciers: Multiscale Computation of Sediment-Controlled Ice-Sheet Motion
    Ian Madden

     
3:15 PM

KEYNOTES

  • AI for Science at Scale: The Genesis Mission and National AI Infrastructure for Research 
    Dr. Rajeev Thakur, Deputy Division Director and Argonne Distinguished Fellow, Argonne National Laboratory 
3:35 PM
  • Accelerating Scientific Discovery with AI
    Alex Lupsasca, Research Scientist, Open AI
3:55 PM

CLOSING REMARKS

  • Eric Darve, Professor of Mechanical Engineering and Director of the Institute for Computational and Mathematical Engineering (ICME)
4:00 PMNETWORKING RECEPTION AND STUDENT POSTERS 
5:00 PMEVENT ENDS

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